Capptivo

Screendrop is a native, local-first macOS menu bar application for capturing, annotating, recording, editing, compressing, and sharing screenshots and screen recordings. It captures displays, windows, or selected areas; provides configurable hotkeys and after-capture workflows; and includes a floating preview stack, offline History, non-destructive annotation with redaction and mockup effects, and a recording studio with separate screen, camera, microphone, system-audio, cursor, click, and keystroke data. Recording projects support timeline edits, zooms, reconstructed cursors, camera layouts, captions, transcript-based cuts, social aspect ratios, and reusable style presets. On-device speech recognition provides transcription, karaoke-style captions, filler-word removal, silence trimming, and a notch-native teleprompter. Optional self-hosted sharing uses a Cloudflare Worker, R2, and D1: the Worker authenticates uploads, stores media and metadata, and returns share links for screenshot viewers or Loom-style recording pages with transcripts, comments, playback controls, and scrub previews. Captures, projects, annotation sidecars, and transcripts remain on the Mac unless explicitly uploaded, and there is no central Screendrop account or hosted server. The project is distributed as a DMG or Homebrew cask, requires macOS 26.4 or newer according to its README, and is dedicated to the public domain under CC0 1.0 Universal.

CapCut is a cross-platform video editing application and web service owned by ByteDance that provides tools for creating and editing videos. It offers AI-powered editing features, smart templates, effects, and export options for desktop, mobile, and web for social media content.

Skill Recorder is a Microsoft desktop application that records a work session—including screen activity, application and window switches, browser pages, clipboard previews, and optional spoken narration—and uses the GitHub Copilot CLI to reconstruct the session as an overall intent and ordered steps. Users can review and edit the analysis, then generate either a reusable SKILL.md procedure for an AI agent or an Automation that runs on a schedule or trigger. Generated procedures prefer an agent’s native tools, such as the gh CLI or web_fetch, over replaying interface clicks and can generalize from the recorded example. Recording, frame extraction, local storage, and optional narration transcription occur on the computer; choosing Analyze sends the event timeline, extracted screen images, and narration text to GitHub’s cloud for Copilot processing. Narration is transcribed on-device using a Whisper model. The application is distributed as a source release that downloads a pinned Node.js runtime and builds the release locally without a global installation. macOS is the primary target, with Windows 11 support for x64 and ARM64 and Ubuntu installation instructions. A GitHub account with Copilot access is required.

BridgeClip is an open-source AI desktop app from BridgeMind that turns local videos or podcast, YouTube, and Twitch VOD links into captioned short-form clips. It downloads the source when needed, transcribes speech, uses OpenRouter to identify promising moments and plan the clips, reframes them to 9:16 or 16:9, and renders the results locally with FFmpeg and word-by-word captions. It supports smart face and screen-share framing, multiple caption styles, clip libraries and job tracking, and optional publishing or scheduling through Zernio. The app runs on the user's computer without a BridgeMind backend; provider keys and transcription or planning data are sent to the selected OpenRouter services, while rendering is local. macOS and Windows releases are provided, Linux development is supported, and the project is MIT licensed.